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CLRM3D: Continual Large-scale Representation Learning from Multi-Modal Medical Data

Project Details

Short titleCLRM3D: Continual Large-scale Representation Learning from Multi-Modal Medical Data
StatusFinished
Effective start/end date18/04/2317/04/25

Funding

  • The Royal Society

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • 3D Superquadric Splatting

    MacSwayne, D., Leonardis, A. & Jiao, J., 11 Nov 2025, (Accepted/In press) 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, (IEEE Workshop on Applications of Computer Vision (WACV)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • An Explorative Study on Abstract Images and Visual Representations Learned from Them

    Li, H. & Jiao, J., 27 Nov 2025, 36th British Machine Vision Conference 2025, {BMVC} 2025, Sheffield, UK, November 24-27, 2025. BMVA , 13 p. 495

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Exploring Image Representation with Decoupled Classical Visual Descriptors

    Qu, C., Chen, H. & Jiao, J., 27 Nov 2025, 36th British Machine Vision Conference 2025, {BMVC} 2025, Sheffield, UK, November 24-27, 2025. BMVA , 14 p. 873

    Research output: Chapter in Book/Report/Conference proceedingConference contribution